vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Spec Decode] Add draft_context_window for EAGLE-3 drafters
- [ROCm][DSv4.1] Overlap the Engram WKV chain with the decoder layers
- [XPU][Model] Gemma4: route MoE with topk_softmax on XPU
- fix: reclaim encoder compute budget after multimodal pruning (#63187)
- [Multimodal] Add TorchCodec image decoding backend
- [Bugfix][MRV2] Fix FULL profiling context
- [Bugfix][Frontend] Aggregate per-engine ORCA metrics under data parallel
- [Bugfix][Kernel] Apply one more decay step in lightning_attention prefill
- [Feature][Rust Frontend] Support scale-out request cancellation
- [RFC]: Reduce descriptor and WR overhead to improve Mooncake KV transfer bandwidth
- Docs
- Python not yet supported